Cable assembly assembling quality assessment method and related equipment

Abstract

The invention discloses a cable assembly assembling quality evaluation method and related equipment, and the method comprises the steps: responding to an input operation for the parameters of a to-be-assembled cable assembly, and matching an adaptive assembly model of the parameters of the to-be-assembled cable assembly; determining a target cable assembly and a target process matched with the parameters of the to-be-assembled cable assembly according to the model of the adaptive assembly and a preset manufacturer process database; assembling the target cable assembly based on the target process; and generating an electronic identifier corresponding to the assembled target cable assembly, and performing assembly quality evaluation on the target cable assembly based on the electronic identifier. According to the invention, the problem of poor reliability of the assembly quality of the cable assembly at present can be solved.

Description

Technical Field

[0001] This application relates to the field of power system technology, specifically to a method and related equipment for evaluating the assembly quality of cable assemblies. Background Technology

[0002] Currently, the industry's methods for controlling the assembly quality of cable accessories mainly fall into three categories, all of which have significant limitations. The first is manual control, relying on the experience of construction personnel to record assembly information, using paper work orders, and manually inspecting and recording accessory status during maintenance. The second is partial information technology tools, where some companies use simple tables or standalone software to record manufacturer parameters, but these lack process matching capabilities, only enabling parameter storage and failing to correlate with construction processes. The third is single monitoring equipment, focusing on status monitoring during maintenance, only collecting temperature data, and not involving process control and information traceability during assembly. Therefore, the current quality of cable assembly is unsatisfactory. Summary of the Invention

[0003] This application provides a method and related equipment for evaluating the assembly quality of cable assemblies, which can solve the current problem of poor assembly quality of cable assemblies.

[0004] In a first aspect, embodiments of this application provide a method for evaluating the assembly quality of cable assemblies, including: In response to an input operation for parameters of the cable assembly to be assembled, the matching component model of the parameters of the cable assembly to be assembled is matched. Based on the compatible component model and the preset manufacturer process database, determine the target cable assembly and target process that match the parameters of the cable assembly to be assembled; The target cable assembly is assembled based on the target process; An electronic identifier is generated corresponding to the assembled target cable assembly, and the assembly quality of the target cable assembly is evaluated based on the electronic identifier.

[0005] Optionally, in some embodiments of this application, the step of matching the adapter component model of the cable assembly parameters to be assembled in response to an input operation for the parameters of the cable assembly to be assembled includes: In response to an input operation for parameters of the cable assembly to be assembled, a candidate component model is obtained based on the parameters of the cable assembly to be assembled and a preset matching algorithm; The obtained candidate component models are verified, and the matching component models of the parameters of the cable assembly to be assembled are matched according to the verification results.

[0006] Optionally, in some embodiments of this application, the step of verifying the obtained candidate component models and determining the compatible component model of the cable assembly parameters to be assembled based on the verification results includes: Perform multi-dimensional verification on the obtained candidate component models; Candidate component models that do not meet the above multi-dimensional verification conditions are eliminated; If there is only one remaining candidate component model, then the remaining candidate component model is determined as the matching component model for the parameters of the cable assembly to be assembled. If there are multiple remaining candidate component models, the appropriate component model for the parameters of the cable assembly to be assembled will be determined from the remaining candidate component models according to a preset priority.

[0007] Optionally, in some embodiments of this application, determining the target cable assembly and target process for matching the parameters of the cable assembly to be assembled based on the adapter component model and a preset manufacturer process database includes: Using the model number of the adapter component as the query keyword, the associated data corresponding to the model number of the adapter component is extracted from the preset manufacturer process database; Verify the parameters of the attached entities in the associated data of the extracted compatible component models; Based on the verification results, the target cable assembly and target process that match the parameters of the cable assembly to be assembled are determined.

[0008] Optionally, in some embodiments of this application, determining the target cable assembly and target process for matching the parameters of the cable assembly to be assembled based on the verification result includes: Based on the verification results, the candidate attachment entity parameters corresponding to the attachment entity parameters that passed the verification are determined; If there is only one candidate attachment entity parameter, then the candidate attachment entity parameter is determined as the target attachment entity parameter; If there are multiple candidate attachment entity parameters, the target attachment entity parameter is determined based on the preset weights among the candidate attachment entity parameters.

[0009] Optionally, in some embodiments of this application, the verification of the attachment entity parameters in the associated data of the extracted adapter component model includes: Extract the attachment entity parameters to be verified from the associated data of the extracted adapter component models; The verification dimensions are determined based on the preset manufacturer process database and the parameters of the cable assembly to be assembled. The parameters of the attachment entity are validated according to the validation dimension.

[0010] Optionally, in some embodiments of this application, generating an electronic identifier corresponding to the assembled target cable assembly and performing an assembly quality assessment of the target cable assembly based on the electronic identifier includes: Generate an electronic identifier for the assembled target cable assembly; Retrieve assembly process data using electronic identification; Compare assembly data with target process standards; The assembly quality of the target cable assembly is evaluated based on the comparison results.

[0011] Secondly, embodiments of this application provide a cable assembly quality assessment device, comprising: A matching module is used to match the appropriate component model for the parameters of the cable assembly to be assembled in response to an input operation for the parameters of the cable assembly to be assembled. The determination module is used to determine the target cable assembly and target process that match the parameters of the cable assembly to be assembled, based on the model of the adaptable component and a preset manufacturer process database. An assembly module is used to assemble the target cable assembly based on the target process; An evaluation module is used to generate an electronic identifier corresponding to the assembled target cable assembly, and to evaluate the assembly quality of the target cable assembly based on the electronic identifier.

[0012] Thirdly, embodiments of this application provide an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the cable assembly assembly quality assessment method as described in the first aspect.

[0013] Fourthly, embodiments of this application provide a storage medium storing a computer program capable of being loaded by a processor and executing the cable assembly quality assessment method as described in the first aspect.

[0014] This application provides a method, apparatus, electronic device, and storage medium for evaluating the assembly quality of cable assemblies. In response to an input operation for parameters of a cable assembly to be assembled, the method matches the model of an adapter component to the parameters of the cable assembly to be assembled. Based on the adapter component model and a preset manufacturer process database, it determines the target cable assembly and target process that match the parameters of the cable assembly to be assembled. Then, it assembles the target cable assembly based on the target process. Finally, it generates an electronic identifier corresponding to the assembled target cable assembly and evaluates the assembly quality of the target cable assembly based on the electronic identifier. In the cable assembly quality assessment scheme provided in this application, the matching of appropriate component models through response cable parameter input replaces manual experience-based selection, avoiding errors and omissions in paper records; the target components and processes are determined by combining the manufacturer's process database, realizing intelligent association between parameters and processes, making up for the deficiency of some local information tools that only have parameters and no process matching; based on the target process, assembly is carried out and electronic tags are generated, and assembly data is traced and quality is evaluated by relying on the tags. This not only covers the process control of the assembly process, but also breaks through the limitation of single monitoring equipment that can only perform maintenance temperature measurement and has no assembly traceability. Ultimately, it reduces the risk of human error and mismatch, improves assembly quality and problem traceability efficiency, thereby solving the current problem of poor cable accessory assembly quality. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is an application environment diagram of the cable assembly quality assessment method provided in the embodiments of this application; Figure 2 This is a flowchart illustrating the cable assembly quality assessment method provided in the embodiments of this application; Figure 3 This is a schematic diagram of the cable assembly quality assessment device provided in the embodiments of this application; Figure 4 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0017] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of systems and methods consistent with those detailed in the appended claims or with some aspects of this application.

[0018] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover descriptions such as non-exclusive inclusion, so that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, components, features, and elements with the same names in different embodiments of this application may have the same meaning or different meanings, the specific meaning of which must be determined by its interpretation in that specific embodiment or further in conjunction with the context of that specific embodiment.

[0019] It should be understood that the specific embodiments described herein are merely illustrative of this application and are not intended to limit this application.

[0020] In the following description, the use of suffixes such as "module," "part," or "unit" to denote elements is solely for the purpose of illustrative purposes and has no specific meaning in itself. Therefore, "module," "part," or "unit" may be used interchangeably.

[0021] To address the aforementioned technical problems and overcome the shortcomings of existing technologies, this application provides a method and related equipment for evaluating the assembly quality of cable assemblies, which can accurately determine and quickly protect fault areas in active power distribution networks, thereby improving the reliability and adaptability of differential protection in active power distribution networks.

[0022] Figure 1 This is a diagram illustrating the application environment of a cable assembly quality assessment method in one embodiment. (Refer to...) Figure 1 This cable assembly quality assessment method is applied to a cable assembly quality assessment system. The system includes a terminal 110 and a server 120. The terminal 110 and server 120 are connected via a network. The terminal 110 can be a desktop terminal or a mobile terminal; a mobile terminal can be at least one of a mobile phone, tablet, or laptop. The server 120 can be a standalone server or a server cluster consisting of multiple servers.

[0023] Server 120 is configured to execute the above-mentioned cable assembly assembly quality assessment method, including: in response to an input operation on the parameters of the cable assembly to be assembled, matching the model of the compatible component for the parameters of the cable assembly to be assembled; determining the target cable assembly and target process matching the parameters of the cable assembly to be assembled based on the model of the compatible component and a preset manufacturer process database; assembling the target cable assembly based on the target process; generating an electronic identifier corresponding to the assembled target cable assembly, and assessing the assembly quality of the target cable assembly based on the electronic identifier.

[0024] Please see Figure 2 , Figure 2 This is a flowchart illustrating a cable assembly quality assessment method according to an embodiment of this application. This embodiment primarily uses the application of this cable assembly quality assessment method to a server as an example. Specifically, the cable assembly quality assessment method provided in this embodiment may include the following steps: S101. In response to the input operation for the parameters of the cable assembly to be assembled, match the adapter component model of the parameters of the cable assembly to be assembled.

[0025] Among them, cable assembly parameters refer to the core technical parameters of the cable to be assembled, which are the key basis for matching the appropriate component model. Specifically, they include the following three categories: Cable cross-sectional area: that is, the cross-sectional area of ​​the cable conductor, which determines the current carrying capacity of the cable and is the basic parameter for screening accessory compatibility; Cable insulation layer thickness: that is, the thickness of the outer insulation layer of the cable conductor, which directly affects the sealing compatibility between the accessory and the cable and must match the insulation layer compatibility requirements of the accessory; Cable voltage rating: that is, the rated voltage of the cable designed for operation, which must be completely consistent with the withstand voltage rating of the accessory and is the core parameter for ensuring electrical safety.

[0026] The matching component model refers to the cable accessory model that is completely compatible with the parameters of the cable assembly to be assembled. It is the unique model identifier of the cable accessory. Before receiving parameter input, the manufacturer's parameters and construction process are collected, and a manufacturer process database is built according to the three-level index of manufacturer code, accessory model and process ID to provide a data foundation for matching.

[0027] Complete cable parameters are obtained through hardware terminals. After logging into the system and completing identity verification, the construction personnel enter the parameter input interface through the hardware terminal. The system responds to the input operations of the construction personnel and receives the core parameters of the cable assembly to be assembled, including cable cross-sectional area, insulation thickness, and voltage rating.

[0028] The hardware terminal calls the database interface, encrypts the input cable parameters, and transmits them to the backend terminal server. The server calls the query interface of the manufacturer's process database, uses the cable parameters as the query conditions, triggers the database fuzzy query and precise matching logic, and filters out the accessory model dataset that has a potential compatibility relationship with the cable parameters.

[0029] Then, the server filters the compatible component models according to a preset priority, such as voltage level greater than cross-sectional area and interface greater than insulation thickness. It then verifies the accessory model dataset one by one. First, it confirms that the accessory withstand voltage level is consistent with the cable voltage level. Then, it confirms that the accessory's compatible cross-sectional area range includes the cable cross-sectional area. Finally, it confirms that the accessory's insulation thickness compatibility requirement matches the cable insulation thickness. Models that do not meet the verification conditions are eliminated, and accessory models that meet the triple compatibility requirements are retained to form a list of compatible component models.

[0030] Optionally, in some embodiments of this application, the step "in response to an input operation on the parameters of the cable assembly to be assembled, matching the adapter component model of the parameters of the cable assembly to be assembled" may specifically include: In response to an input operation for parameters of the cable assembly to be assembled, a candidate component model is obtained based on the parameters of the cable assembly to be assembled and a preset matching algorithm; The obtained candidate component models are verified, and the matching component models of the parameters of the cable assembly to be assembled are matched according to the verification results.

[0031] Among them, the matching algorithm is the core logic used by the backend terminal server to filter candidate component models. It is supported by the manufacturer's process database, and the core logic is a three-level progressive filtering: The first level is voltage level screening: prioritize the accessory models that are exactly the same as the voltage level of the cable to be assembled to ensure electrical safety. The second level is cross-sectional area screening: from the voltage matching models, select models whose cross-sectional area range covers the cross-sectional area of ​​the cable to be assembled to ensure that the accessories are compatible with the current carrying capacity of the cable conductor. The third level is insulation thickness screening: from the above models, select models whose insulation thickness compatibility requirements match the insulation thickness of the cable to be assembled, to ensure that the sealing and insulation performance of the accessories and cables meet the standards.

[0032] For example, after construction workers log in to the system via a hardware terminal and complete identity verification, they enter the parameter input interface for the cable assembly to be assembled. The system responds to the parameter input operation of the construction workers and receives the core parameters of the cable assembly to be assembled, which may include cable cross-sectional area, cable insulation layer thickness, and cable voltage level. The system automatically verifies the integrity of the parameter format. If any parameters are missing, a pop-up window will prompt for supplementation to ensure that the obtained parameters can support subsequent matching.

[0033] The backend terminal server retrieves the parameters of the cable assembly to be assembled and inputs them into a preset matching algorithm. This algorithm uses the manufacturer's process database as its data foundation and filters according to the following logic: voltage level priority, cross-sectional area compatibility, and insulation thickness matching. It prioritizes accessory models from both databases whose withstand voltage level is exactly the same as the voltage level of the cable to be assembled. From these models, it further filters accessory models whose compatible cross-sectional area range includes the cross-sectional area of ​​the cable to be assembled; it then filters accessory models whose insulation thickness compatibility requirements match the insulation thickness of the cable to be assembled. All accessory models selected through these three steps are then identified as candidate component models, forming a candidate list. Finally, the candidate component models undergo multi-dimensional verification, and the compatible component model is determined based on the verification results.

[0034] Optionally, in some embodiments of this application, the step "verifying the obtained candidate component models and determining the compatible component models for the parameters of the cable assembly to be assembled based on the verification results" may specifically include: Perform multi-dimensional verification on the obtained candidate component models; Candidate component models that do not meet the above multi-dimensional verification conditions are eliminated; If there is only one remaining candidate component model, then the remaining candidate component model is determined as the matching component model for the parameters of the cable assembly to be assembled. If there are multiple remaining candidate component models, the appropriate component model for the parameters of the cable assembly to be assembled will be determined from the remaining candidate component models according to a preset priority.

[0035] Multi-dimensional verification refers to a process of conducting a second, comprehensive verification of candidate component models based on the initial screening, combined with data from the manufacturer's process database and actual construction needs. This verification considers four core dimensions: parameter validity, process adaptability, deep adaptability, and scenario adaptability. The core objective is to eliminate candidate models with invalid parameters, lacking process support, or incompatible with the cable application scenario. This ensures that the final selected compatible component models not only meet basic parameter matching requirements but also adapt to the actual assembly process and construction environment, thereby reducing assembly mismatch rates from the outset.

[0036] For example, specifically, the multi-dimensional verification results of each candidate component model are summarized, and only candidate models that pass all four dimensions are retained; if a candidate model fails any dimension, it is directly removed from the candidate list to form a list of qualified candidate component models.

[0037] For example, if the list of qualified candidate component models contains only one model, then that model is determined as the compatible component model corresponding to the parameters of the cable component to be assembled. The back-end terminal server synchronously retrieves the manufacturer's basic parameters for that model and transmits them to the hardware terminal for the construction personnel to confirm.

[0038] S102. Based on the model of the adapter component and the preset manufacturer process database, determine the target cable component and target process that match the parameters of the cable component to be assembled.

[0039] Among them, the manufacturer process database, also known as the manufacturer-process dual database, is a structured database that stores the parameters of cable accessory manufacturers and their corresponding construction processes. It can collect data in three ways: automatically synchronizing parameters through API connection with the manufacturer's ERP system, extracting information from PDF process documents uploaded by the construction team through OCR recognition, and manually supplementing data from niche manufacturers. The storage structure adopts a three-level index of manufacturer code, accessory model and process ID.

[0040] The target cable assembly refers to a cable accessory selected from the accessory entities associated with the compatible component model, after validity and compatibility verification, that fully matches the parameters of the cable assembly to be assembled and meets the actual assembly requirements. The target process refers to a standardized construction process selected from the manufacturer's process database that fully matches the target cable assembly and is suitable for the current construction scenario.

[0041] For example, based on the identified compatible component model, the backend terminal server calls the preset manufacturer process database via TCP / IP protocol; using the compatible component model as the core query keyword, it extracts the full set of related data corresponding to the compatible component model from the manufacturer process database, specifically including attachment entity parameters, process related data, and basic manufacturer information.

[0042] In addition, the extracted attachment entity parameters can be double-checked for validity and compatibility to ensure that the parameters meet the requirements of the cable to be assembled and the actual assembly conditions.

[0043] Optionally, in some embodiments of this application, the step "determining the target cable assembly and target process that match the parameters of the cable assembly to be assembled based on the adapter component model and a preset manufacturer process database" may specifically include: Using the model number of the adapter component as the query keyword, the associated data corresponding to the model number of the adapter component is extracted from the preset manufacturer process database; Verify the parameters of the attached entities in the associated data of the extracted compatible component models; Based on the verification results, the target cable assembly and target process that match the parameters of the cable assembly to be assembled are determined.

[0044] Among them, the query keyword is the matching component model, which is a unique identifier assigned by the manufacturer to the cable accessory. This model corresponds one-to-one with the core parameters and construction process of the accessory. It is the core index for accurately extracting related data from the manufacturer's process database, ensuring the accuracy and efficiency of data extraction and avoiding interference from irrelevant data.

[0045] Related data refers to the full amount of data in the manufacturer's process database that is bound to the compatible component model. Specifically, it includes the following entity data: material composition, size specifications, durability, warranty period, manufacturer code and name corresponding to the compatible component model; process-related data includes: all process IDs corresponding to the compatible component model, and the construction process content bound to each process ID.

[0046] The accessory entity parameters refer to the core data in the associated data that describes the physical and performance characteristics of the cable accessory. They are the key basis for determining whether the accessory is suitable for the cable to be assembled. Specifically, they include physical parameters: material and size specifications; performance parameters: withstand voltage level, withstand temperature range, and suitable cross-sectional area range; and management parameters: warranty period and production batch. These parameters directly determine the compatibility and reliability of the accessory and are the core objects of verification and screening.

[0047] For example, specifically, using the compatible component model as the core query condition, fuzzy search and exact matching logic are triggered to extract all related data corresponding to that model. This ensures that the data covers both the accessory entity and process association dimensions, providing a complete basis for subsequent verification and target determination. Then, accessory entity parameters are separated from the extracted related data, and verification is carried out according to both validity and adaptability dimensions. If there is only one set of accessory entity parameters that pass the verification, the cable accessory corresponding to that parameter is directly identified as the target cable assembly; if there are multiple sets of parameters that pass the verification, they are selected according to the priority of warranty period from long to short and endurance performance from high to low, and the accessory corresponding to the optimal parameter is identified as the target cable assembly. At the same time, based on the process ID corresponding to the target cable assembly, all bound construction process contents are retrieved from the associated data, and processes that do not conform to the current construction scenario are eliminated; if there is one remaining process, it is directly determined as the target process; if there are multiple processes, the process that meets the upper limit of the industry standard is automatically taken as the benchmark.

[0048] Optionally, in some embodiments of this application, the step "determining the target cable assembly and target process for matching the parameters of the cable assembly to be assembled based on the verification results" may specifically include: Based on the verification results, the candidate attachment entity parameters corresponding to the attachment entity parameters that passed the verification are determined; If there is only one candidate attachment entity parameter, then the candidate attachment entity parameter is determined as the target attachment entity parameter; If there are multiple candidate attachment entity parameters, the target attachment entity parameter is determined based on the preset weights among the candidate attachment entity parameters.

[0049] Optionally, in some embodiments of this application, the step "verifying the attachment entity parameters in the extracted association data of the adapter component model" may specifically include: Extract the attachment entity parameters to be verified from the associated data of the extracted adapter component models; The verification dimensions are determined based on the preset manufacturer process database and the parameters of the cable assembly to be assembled. The parameters of the attachment entity are validated according to the validation dimension.

[0050] From the associated data extracted using the matching component model as the query keyword, the parameters of the accessory entities to be verified are separated and extracted, specifically: the material composition, size specifications, voltage withstand rating, and temperature withstand range of the accessory, etc.

[0051] The attachment entity parameters are verified according to the following dimensions: The withstand voltage level in the attachment entity parameters is compared with the voltage level of the cable to be assembled. If they are completely consistent, the verification passes; otherwise, it is marked as voltage mismatch unqualified. The cross-sectional area of ​​the cable to be assembled is checked to see if it falls within the range of the attachment's compatible cross-sectional area. If it is within the range, the verification passes; otherwise, it is marked as cross-sectional area mismatch unqualified. The error value between the insulation thickness of the cable to be assembled and the attachment's compatibility requirements is calculated. If the error is ≤ the manufacturer's allowable range, the verification passes; otherwise, it is marked as insulation thickness unqualified. The warranty expiration date of the attachment is compared with the current date to confirm it has not expired. Simultaneously, the production status of this model in the manufacturer's process database is checked to ensure it is in production. If both conditions are met, the verification passes; otherwise, it is marked as parameter invalid. Only when the attachment entity parameter passes all dimensions of verification is it considered a qualified parameter. If any dimension fails, the attachment entity parameter is directly removed and will not proceed to the subsequent target component selection stage.

[0052] S103. Assemble the target cable assembly based on the target process.

[0053] Specifically, construction workers log into the system through a hardware terminal, and the target process that has been determined is automatically loaded into the terminal interface. The system automatically highlights key processes and allowable error ranges.

[0054] The terminal automatically displays a list of tools required for the target process, and construction personnel scan the tool QR code to confirm that the tool model matches. The terminal collects the current ambient temperature and humidity through built-in sensors. If the temperature and humidity exceed the range required by the target process, a pop-up warning will be issued and the assembly will be paused until the environment meets the requirements. If the environmental parameters change during the assembly process, the terminal will automatically push the temperature compensation parameters from the target process to the interface to guide the construction adjustments.

[0055] S104. Generate an electronic identifier corresponding to the assembled target cable assembly, and evaluate the assembly quality of the target cable assembly based on the electronic identifier.

[0056] Among them, the electronic tag is a digital tag that embeds key information throughout the entire life cycle of the target cable assembly. It can be scanned and identified by a hardware terminal to enable rapid traceability of the assembly process, quality assessment results, and operation and maintenance status of the assembly.

[0057] For example, core information after the target cable assembly is completed is collected, such as the target component model, manufacturer code, parameters of the matching cable to be assembled, videos of key processes, operation time of each process, operator ID, tool number, real-time ambient temperature and humidity, post-assembly appearance inspection records, and key dimensional measurements. Then, information fields and a carrier for an electronic identifier are generated. The electronic identifier must include a unique code, manufacturer code, construction team ID, target process ID, assembly completion date, warranty period, and QR code validity period. A weather-resistant material is used to generate the QR code to ensure compatibility with outdoor maintenance environments, and the QR code information is bound to the target cable component ID.

[0058] Construction workers affix the QR code to a prominent position on the outer insulation layer of the target cable assembly and take three photos of the affixation from different angles. The photos and electronic tag information are then uploaded to the backend database simultaneously, completing the closed loop of the electronic tagging.

[0059] Furthermore, by scanning the QR code of the electronic label with a hardware terminal, the attachment ID is parsed and used as an index to retrieve the full assembly data of the target cable assembly from the background database, including the target process standard and the actual assembly process data.

[0060] Next, the key process videos are analyzed frame by frame to verify whether the operation steps are consistent with the target process. If there are any missing steps or incorrect sequences, they are marked as process abnormalities. The actual measured values ​​are compared with the error allowable range of the target process. If they exceed the range, they are marked as parameter abnormalities. The actual tool numbers used are checked to see if they are consistent with the model required by the target process and whether the ambient temperature and humidity are within the allowable range of the process. If they are inconsistent, they are marked as abnormalities.

[0061] Finally, the pass rate is calculated as the number of qualified processes / total number of critical processes × 100%. Optionally, in some embodiments of this application, if the pass rate is ≥95%, the assembly is deemed qualified; otherwise, it is deemed unqualified.

[0062] Optionally, in some embodiments of this application, the step of "generating an electronic identifier corresponding to the assembled target cable assembly and evaluating the assembly quality of the target cable assembly based on the electronic identifier" may specifically include: Generate an electronic identifier for the assembled target cable assembly; Retrieve assembly process data using electronic identification; Compare assembly data with target process standards; The assembly quality of the target cable assembly is evaluated based on the comparison results.

[0063] The target process standard refers to the standardized construction specifications that uniquely match the target cable assembly model. It consists of authoritative data extracted from the manufacturer's process database and serves as the benchmark for evaluating assembly quality. Specifically, it includes: the assembly sequence and specific requirements for each step; quantitative indicators of key processes and tool model requirements; the temperature and humidity range during construction, dustproof and waterproof ratings; and compliance with cable accessory installation standards.

[0064] For example, specifically, retrieving complete information about the target cable assembly can include the target assembly model, manufacturer code, parameters of the matching cable to be assembled, production batch, operation records of each process, measured values ​​of key parameters, tool number used, real-time ambient temperature and humidity, target process ID, process version number, and assembly completion date.

[0065] In summary, the cable assembly assembly quality assessment method provided in this embodiment, in response to the input operation of parameters of the cable assembly to be assembled, matches the model of the compatible component for the parameters of the cable assembly to be assembled, determines the target cable assembly and target process matching the parameters of the cable assembly to be assembled based on the model of the compatible component and a preset manufacturer process database, then assembles the target cable assembly based on the target process, finally generates an electronic identifier corresponding to the assembled target cable assembly, and assesses the assembly quality of the target cable assembly based on the electronic identifier. In the cable assembly quality assessment scheme provided in this application, the matching of appropriate component models through response cable parameter input replaces manual experience-based selection, avoiding errors and omissions in paper records; the target components and processes are determined by combining the manufacturer's process database, realizing intelligent association between parameters and processes, making up for the deficiency of some local information tools that only have parameters and no process matching; based on the target process, assembly is carried out and electronic tags are generated, and assembly data is traced and quality is evaluated by relying on the tags. This not only covers the process control of the assembly process, but also breaks through the limitation of single monitoring equipment that can only perform maintenance temperature measurement and has no assembly traceability. Ultimately, it reduces the risk of human error and mismatch, improves assembly quality and problem traceability efficiency, thereby solving the current problem of poor cable accessory assembly quality.

[0066] It should be understood that, although Figure 2 The steps in the flowchart are shown sequentially as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order in which these steps are executed, and they can be performed in other orders. Furthermore, Figure 2At least some of the steps in the process may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least some of the sub-steps or stages of other steps.

[0067] To facilitate better implementation of the cable assembly quality assessment method of this application, this application also provides a cable assembly quality assessment device based on the above-described cable assembly quality assessment method. The meanings of the terms used are the same as in the cable assembly quality assessment method described above, and specific implementation details can be found in the descriptions in the method embodiments.

[0068] Please see Figure 3 , Figure 3 This is a schematic diagram of the cable assembly quality assessment device provided in an embodiment of this application. Specifically, the cable assembly quality assessment device may include a matching module 201, a determining module 202, an assembly module 203, and an assessment module 20, as follows: Matching module 201 is used to match the appropriate component model for the parameters of the cable assembly to be assembled in response to an input operation for the parameters of the cable assembly to be assembled. The determining module 202 is used to determine the target cable assembly and target process that match the parameters of the cable assembly to be assembled, based on the model of the adaptable component and a preset manufacturer process database. Assembly module 203 is used to assemble the target cable assembly based on the target process; The evaluation module 204 is used to generate an electronic identifier corresponding to the assembled target cable assembly, and to evaluate the assembly quality of the target cable assembly based on the electronic identifier.

[0069] Specific limitations regarding the cable assembly quality assessment device can be found in the limitations of the cable assembly quality assessment method described above, and will not be repeated here. Each module in the aforementioned cable assembly quality assessment device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0070] The cable assembly assembly quality assessment device provided in this embodiment includes a matching module 201 that, in response to an input operation for the parameters of the cable assembly to be assembled, matches the model of the compatible component for the parameters of the cable assembly to be assembled. Then, based on the model of the compatible component and a preset manufacturer process database, a determining module 202 determines the target cable assembly and target process that match the parameters of the cable assembly to be assembled. Next, an assembly module 203 assembles the target cable assembly based on the target process. Finally, an assessment module 204 generates an electronic identifier corresponding to the assembled target cable assembly and assesses the assembly quality of the target cable assembly based on the electronic identifier. In the cable assembly quality assessment scheme provided in this application, the matching of appropriate component models through response cable parameter input replaces manual experience-based selection, avoiding errors and omissions in paper records; the target components and processes are determined by combining the manufacturer's process database, realizing intelligent association between parameters and processes, making up for the deficiency of some local information tools that only have parameters and no process matching; based on the target process, assembly is carried out and electronic tags are generated, and assembly data is traced and quality is evaluated by relying on the tags. This not only covers the process control of the assembly process, but also breaks through the limitation of single monitoring equipment that can only perform maintenance temperature measurement and has no assembly traceability. Ultimately, it reduces the risk of human error and mismatch, improves assembly quality and problem traceability efficiency, thereby solving the current problem of poor cable accessory assembly quality.

[0071] Furthermore, embodiments of this application also provide an electronic device, such as... Figure 4 As shown, it illustrates a structural schematic diagram of the electronic device involved in the embodiments of this application, specifically: The electronic device may include components such as a processor 301 with one or more processing cores, a memory 302 with one or more computer-readable storage media, a power supply 303, and an input unit 304. Those skilled in the art will understand that... Figure 4 The electronic device structure shown does not constitute a limitation on the electronic device and may include more or fewer components than shown, or combine certain components, or have different component arrangements. Wherein: The processor 301 is the control center of the electronic device. It connects various parts of the electronic device via various interfaces and lines, and performs various functions and processes data by running or executing software programs and / or modules stored in the memory 302, and by calling data stored in the memory 302, thereby providing overall monitoring of the electronic device. Optionally, the processor 301 may include one or more processing cores; preferably, the processor 301 may integrate an application processor and a modem processor, wherein the application processor mainly handles the operating system, user interface, and applications, and the modem processor mainly handles wireless communication. It is understood that the modem processor may not be integrated into the processor 301.

[0072] The memory 302 can be used to store software programs and modules. The processor 301 executes various functional applications and cable assembly quality assessment methods by running the software programs and modules stored in the memory 302. The memory 302 may mainly include a program storage area and a data storage area. The program storage area may store the operating system, application programs required for at least one function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created according to the use of the electronic device, etc. In addition, the memory 302 may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, the memory 302 may also include a memory controller to provide the processor 301 with access to the memory 302.

[0073] The electronic device also includes a power supply 303 that supplies power to various components. Preferably, the power supply 303 can be logically connected to the processor 301 through a power management system, thereby enabling functions such as charging, discharging, and power consumption management through the power management system. The power supply 303 may also include one or more DC or AC power supplies, recharging systems, power fault detection circuits, power converters or inverters, power status indicators, and other arbitrary components.

[0074] The electronic device may also include an input unit 304, which can be used to receive input digital or character information and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control.

[0075] Although not shown, the electronic device may also include a display unit, etc., which will not be described in detail here. Specifically, in this embodiment, the processor 301 in the electronic device loads the executable files corresponding to the processes of one or more applications into the memory 302 according to the following instructions, and the processor 301 runs the applications stored in the memory 302 to realize various functions, as follows: In response to an input operation for the parameters of the cable assembly to be assembled, the system matches the model of the compatible component for the parameters of the cable assembly to be assembled; based on the model of the compatible component and a preset manufacturer process database, the system determines the target cable assembly and target process that match the parameters of the cable assembly to be assembled; the system assembles the target cable assembly based on the target process; the system generates an electronic identifier corresponding to the assembled target cable assembly, and evaluates the assembly quality of the target cable assembly based on the electronic identifier.

[0076] For details on the implementation of each of the above operations, please refer to the previous examples, which will not be repeated here.

[0077] In response to input operations on parameters of the cable assembly to be assembled, this application matches the compatible component model for the parameters of the cable assembly to be assembled. Based on the compatible component model and a preset manufacturer process database, it determines the target cable assembly and target process matching the parameters of the cable assembly to be assembled. Then, it assembles the target cable assembly based on the target process. Finally, it generates an electronic identifier corresponding to the assembled target cable assembly and evaluates the assembly quality based on the electronic identifier. In the cable assembly assembly quality evaluation scheme provided in this application, matching compatible component models in response to cable parameter input replaces manual experience-based selection, avoiding errors and omissions in paper records. Combining the manufacturer process database to determine the target component and process achieves intelligent association between parameters and processes, compensating for the shortcomings of some information tools that only contain parameters and lack process matching. Assembling based on the target process and generating an electronic identifier, relying on the identifier to trace assembly data and evaluate quality, not only covers process control during assembly but also overcomes the limitations of single monitoring equipment that can only perform maintenance temperature measurement and lacks assembly traceability. Ultimately, it reduces human error and mismatch risks, improves assembly quality and problem traceability efficiency, thereby solving the current problem of poor cable accessory assembly quality.

[0078] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be performed by instructions, or by instructions controlling related hardware. These instructions can be stored in a computer-readable storage medium and loaded and executed by a processor.

[0079] Therefore, embodiments of this application provide a storage medium storing a plurality of instructions that can be loaded by a processor to execute steps in any of the cable assembly quality assessment methods provided in embodiments of this application. For example, the instructions can execute the following steps: In response to an input operation for the parameters of the cable assembly to be assembled, the system matches the model of the compatible component for the parameters of the cable assembly to be assembled; based on the model of the compatible component and a preset manufacturer process database, the system determines the target cable assembly and target process that match the parameters of the cable assembly to be assembled; the system assembles the target cable assembly based on the target process; the system generates an electronic identifier corresponding to the assembled target cable assembly, and evaluates the assembly quality of the target cable assembly based on the electronic identifier.

[0080] For details on the implementation of each of the above operations, please refer to the previous examples, which will not be repeated here.

[0081] The storage medium may include: read-only memory (ROM), random access memory (RAM), disk or optical disk, etc.

[0082] Since the instructions stored in the storage medium can execute the steps in any of the cable assembly quality assessment methods provided in the embodiments of this application, the beneficial effects that any of the cable assembly quality assessment methods provided in the embodiments of this application can achieve can be realized. For details, please refer to the previous embodiments, which will not be repeated here.

[0083] The above provides a detailed description of a cable assembly quality assessment method and related equipment provided in the embodiments of this application. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for evaluating the assembly quality of cable assemblies, characterized in that, include: In response to an input operation for parameters of the cable assembly to be assembled, the matching component model of the parameters of the cable assembly to be assembled is matched. Based on the compatible component model and the preset manufacturer process database, determine the target cable assembly and target process that match the parameters of the cable assembly to be assembled; The target cable assembly is assembled based on the target process; An electronic identifier is generated corresponding to the assembled target cable assembly, and the assembly quality of the target cable assembly is evaluated based on the electronic identifier.

2. The cable assembly quality assessment method according to claim 1, characterized in that, The step of matching the compatible component model for the parameters of the cable assembly to be assembled in response to an input operation includes: In response to an input operation for parameters of the cable assembly to be assembled, a candidate component model is obtained based on the parameters of the cable assembly to be assembled and a preset matching algorithm; The obtained candidate component models are verified, and the matching component models of the parameters of the cable assembly to be assembled are matched according to the verification results.

3. The cable assembly quality assessment method according to claim 2, characterized in that, The step of verifying the acquired candidate component models and determining the compatible component model for the parameters of the cable assembly to be assembled based on the verification results includes: Perform multi-dimensional verification on the obtained candidate component models; Candidate component models that do not meet the above multi-dimensional verification conditions are eliminated; If there is only one remaining candidate component model, then the remaining candidate component model is determined as the matching component model for the parameters of the cable assembly to be assembled. If there are multiple remaining candidate component models, the appropriate component model for the parameters of the cable assembly to be assembled will be determined from the remaining candidate component models according to a preset priority.

4. The cable assembly quality assessment method according to claim 1, characterized in that, The step of determining the target cable assembly and target process for matching the parameters of the cable assembly to be assembled, based on the compatible component model and a preset manufacturer process database, includes: Using the model number of the adapter component as the query keyword, the associated data corresponding to the model number of the adapter component is extracted from the preset manufacturer process database; Verify the parameters of the attached entities in the associated data of the extracted compatible component models; Based on the verification results, the target cable assembly and target process that match the parameters of the cable assembly to be assembled are determined.

5. The cable assembly quality assessment method according to claim 4, characterized in that, The step of determining the target cable assembly and target process for matching the parameters of the cable assembly to be assembled based on the verification results includes: Based on the verification results, the candidate attachment entity parameters corresponding to the attachment entity parameters that passed the verification are determined; If there is only one candidate attachment entity parameter, then the candidate attachment entity parameter is determined as the target attachment entity parameter; If there are multiple candidate attachment entity parameters, the target attachment entity parameter is determined based on the preset weights among the candidate attachment entity parameters.

6. The cable assembly assembly quality assessment method according to claim 4, characterized in that, The verification of the attachment entity parameters in the associated data of the extracted compatible component models includes: Extract the attachment entity parameters to be verified from the associated data of the extracted adapter component models; The verification dimensions are determined based on the preset manufacturer process database and the parameters of the cable assembly to be assembled. The parameters of the attachment entity are validated according to the validation dimension.

7. The method for evaluating the assembly quality of cable assemblies according to any one of claims 1 to 6, characterized in that, The process of generating an electronic identifier corresponding to the assembled target cable assembly and evaluating the assembly quality of the target cable assembly based on the electronic identifier includes: Generate an electronic identifier for the assembled target cable assembly; Retrieve assembly process data using electronic identification; Compare assembly data with target process standards; The assembly quality of the target cable assembly is evaluated based on the comparison results.

8. A cable assembly assembly quality assessment device, characterized in that, include: A matching module is used to match the appropriate component model for the parameters of the cable assembly to be assembled in response to an input operation for the parameters of the cable assembly to be assembled. The determination module is used to determine the target cable assembly and target process that match the parameters of the cable assembly to be assembled, based on the model of the adaptable component and a preset manufacturer process database. An assembly module is used to assemble the target cable assembly based on the target process; An evaluation module is used to generate an electronic identifier corresponding to the assembled target cable assembly, and to evaluate the assembly quality of the target cable assembly based on the electronic identifier.

9. An electronic device, characterized in that, include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the steps of the cable assembly assembly quality assessment method as described in any one of claims 1-7.

10. A storage medium, characterized in that, The computer program is stored and can be loaded by a processor and executed as described in any one of claims 1-7 for evaluating the quality of cable assembly.

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